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petropt/petro-mcp

by petropt

petro-mcp

Python 3.10+ License: MIT MCP

MCP server that gives LLMs access to 70 petroleum engineering tools.

Parse well logs, fit decline curves, run PVT correlations, calculate drilling hydraulics, evaluate well economics, and more -- all through natural language with any MCP-compatible AI assistant.

Built by Groundwork Analytics


What is this?

petro-mcp is a Model Context Protocol server that exposes petroleum engineering workflows to LLMs like Claude and other MCP-compatible assistants. Instead of writing scripts to parse LAS files or fit decline curves, just ask your AI assistant in plain English.

Why MCP? MCP is an open standard that lets AI assistants interact with external data and tools. While other energy MCP servers provide commodity prices (OilpriceAPI), petro-mcp is purpose-built for petroleum engineering workflows -- well log interpretation, decline curve analysis, reservoir engineering, drilling calculations, production engineering, and economics.

Prefer a web UI? Try the Production Close Assistant -- upload messy production data, get clean analysis-ready output in seconds. Free, no signup. Also: Decline Curve Analysis | Well Economics

Prerequisites

Installation

pip install petro-mcp

Or install from source:

git clone https://github.com/petropt/petro-mcp.git
cd petro-mcp
pip install -e .

For well trajectory tools (optional):

pip install petro-mcp[trajectory]

Quick Start

Configure with Claude Desktop

Add to your claude_desktop_config.json:

Config file location:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "petro-mcp": {
      "command": "petro-mcp",
      "args": []
    }
  }
}

If installed from source:

{
  "mcpServers": {
    "petro-mcp": {
      "command": "python",
      "args": ["-m", "petro_mcp.server"]
    }
  }
}

Configure with Cursor / VS Code

Add to your MCP settings (.cursor/mcp.json or equivalent):

{
  "mcpServers": {
    "petro-mcp": {
      "command": "petro-mcp"
    }
  }
}

Selective tool loading

Load only the tool groups you need to reduce token overhead:

petro-mcp --tools decline,pvt,economics
petro-mcp --list-tools  # show available groups

Available groups: las, production, decline, pvt, petrophysics, calculations, units, drilling, reservoir, economics, production_eng, trajectory.

Use it

Once configured, ask your AI assistant:

  • "Read the LAS file at /data/wells/wolfcamp.las and summarize the curves"

  • "Load production data from /data/prod.csv and fit a decline curve for Wolfcamp A-1H"

  • "Calculate EUR with qi=800, Di=0.06, b=1.1 and a 5 bbl/day economic limit"

  • "Run a nodal analysis: 3500 psi reservoir, PI=4.2, 2.875-inch tubing, 150 psi wellhead"

  • "Calculate PVT properties for 35 API oil at 200F and 3000 psi"

  • "What's the kill mud weight if SIDP is 500 psi, current MW is 10.5 ppg, TVD 12000 ft?"

Tools (70)

Well Logs (4 tools)

Tool

Description

read_las

Parse a LAS 2.0 file -- returns well header and curve data summary

get_header

Extract well header metadata (name, UWI, location, KB, TD)

get_curves

List all curves with units and descriptions

get_curve_values

Get curve data with optional depth range filtering

Tool

Description

query_production

Query production CSV data by well name and date range

analyze_trends

Detect production anomalies: shut-ins, rate jumps, water breakthrough, GOR blowouts

Decline Curve Analysis (6 tools)

Tool

Description

fit_decline

Fit Arps decline curves (exponential, hyperbolic, harmonic, modified hyperbolic, Duong)

calculate_eur

Calculate Estimated Ultimate Recovery from decline parameters

fit_ple_decline

Fit Power Law Exponential (PLE) decline model (Ilk et al., 2008)

fit_duong_decline

Fit Duong decline model for fracture-dominated flow (Duong, 2011)

fit_sepd_decline

Fit Stretched Exponential (SEPD) decline model (Valko, 2009)

forecast_advanced_decline

Forecast production using PLE, Duong, SEPD, or THM models

PVT Correlations (5 tools)

Tool

Description

calculate_pvt_properties

Black-oil PVT: Pb, Bo, Rs, viscosity, Z-factor (Standing, Vasquez-Beggs, Petrosky-Farshad)

calculate_bubble_point

Bubble point pressure from Standing's correlation

calculate_oil_co

Oil compressibility above and below bubble point (Vasquez-Beggs)

calculate_brine_pvt

Brine PVT: density, viscosity, FVF, compressibility (McCain, Osif)

calculate_gas_z

Gas Z-factor with Hall-Yarborough or Dranchuk-Abou-Kassem; Sutton or Piper pseudocriticals

Petrophysics (12 tools)

Tool

Description

calculate_vshale

Shale volume from gamma ray (linear, Larionov, Clavier)

calculate_density_porosity

Porosity from bulk density log

calculate_sonic_porosity

Porosity from sonic log (Wyllie, Raymer-Hunt-Gardner)

calculate_nd_porosity

Quick-look neutron-density porosity (RMS method)

calculate_effective_porosity

Effective porosity from total porosity and shale volume

calculate_archie_sw

Water saturation using Archie equation (clean sands)

calculate_simandoux_sw

Water saturation using Simandoux equation (shaly sands)

calculate_indonesian_sw

Water saturation using Indonesian equation (high-Vshale formations)

calculate_permeability_timur

Permeability estimate using Timur (1968)

calculate_permeability_coates

Permeability estimate using Coates (1991)

calculate_net_pay

Net pay determination with porosity, Sw, and Vshale cutoffs

calculate_hpt

Hydrocarbon pore thickness (HPT)

Reservoir Engineering (6 tools)

Tool

Description

pz_analysis

Gas material balance: P/Z vs cumulative gas production (OGIP estimation)

havlena_odeh

Oil material balance: Havlena-Odeh straight-line method (drive mechanism ID)

volumetric_ooip

Volumetric Original Oil In Place

volumetric_ogip

Volumetric Original Gas In Place

recovery_factor

Recovery factor from cumulative production and OOIP/OGIP

radius_of_investigation

Radius of investigation for well tests (Lee, 1982)

Drilling Engineering (11 tools)

Tool

Description

calculate_hydrostatic_pressure

Hydrostatic pressure (P = 0.052 * MW * TVD)

calculate_ecd

Equivalent circulating density

calculate_formation_pressure_gradient

Formation pressure gradient as ppg equivalent

calculate_kill_mud_weight

Kill mud weight for well control

calculate_icp_fcp

Initial and Final Circulating Pressures (Driller's method)

calculate_maasp

Maximum Allowable Annular Surface Pressure

calculate_annular_velocity

Annular velocity

calculate_nozzle_tfa

Total flow area of bit nozzles

calculate_bit_pressure_drop

Pressure drop across the bit

calculate_burst_pressure

Internal burst pressure (Barlow with API tolerance)

calculate_collapse_pressure

Collapse pressure rating per API 5C3

Production Engineering (7 tools)

Tool

Description

calculate_beggs_brill

Beggs & Brill (1973) multiphase pressure drop in pipes

calculate_turner_critical

Turner et al. (1969) critical rate for gas well liquid unloading

calculate_coleman_critical

Coleman et al. (1991) critical rate for liquid loading

calculate_hydrate_temp

Hydrate formation temperature (gas-gravity method)

calculate_hydrate_inhibitor

Hydrate inhibitor dosing (Hammerschmidt equation)

calculate_erosional_vel

Erosional velocity per API RP 14E

calculate_choke_flow

Choke flow rate using Gilbert correlation (1954)

Economics (8 tools)

Tool

Description

calculate_well_economics

Full DCF analysis: NPV, IRR, payout, profitability index

calculate_npv

Net Present Value from monthly cash flows

calculate_irr

Internal Rate of Return via bisection

calculate_pv10

PV10 (SEC standard present value at 10% discount)

calculate_breakeven_price

Breakeven oil price (minimum price for NPV = 0)

calculate_operating_netback

Operating netback per BOE

calculate_payout_period

Payout period from monthly cash flows

calculate_price_sensitivity

NPV across multiple price scenarios for sensitivity analysis

Nodal Analysis & Ratios (2 tools)

Tool

Description

calculate_ratios

Producing ratios: GOR, WOR, water cut; well type classification

run_nodal_analysis

IPR/VLP intersection for operating point (Vogel IPR)

Unit Conversions (2 tools)

Tool

Description

convert_oilfield_units

Convert between oilfield and SI units (pressure, volume, density, temperature, etc.)

list_oilfield_units

List all supported unit categories and conversions

Well Trajectory (5 tools, optional)

Requires pip install petro-mcp[trajectory] (uses welleng).

Tool

Description

calculate_well_survey

Well trajectory using minimum curvature method

calculate_dogleg_severity

Dogleg severity between two survey stations

calculate_vertical_section

Project trajectory onto a vertical section plane

calculate_wellbore_tortuosity

Wellbore tortuosity index from survey data

check_well_anticollision

Separation check between two wells at closest approach

Decline Curve Analysis

The decline curve tools are physics-constrained:

  • b-factor bounded to [0, 2] (physical range for Arps models)

  • Non-negative rates enforced throughout

  • Six models: exponential, hyperbolic, harmonic, modified hyperbolic, Duong, PLE, SEPD

  • Advanced models (PLE, Duong, SEPD, THM) use petbox-dca for the forward model

  • Returns R-squared, parameter uncertainties, and residual statistics

Production Data

Accepts CSV files with flexible column naming:

  • Date column: date, Date, DATE

  • Oil: oil, oil_rate, BOPD

  • Gas: gas, gas_rate, MCFD

  • Water: water, water_rate, BWPD

  • Well name: well_name, well, Well Name

Prompt Templates

Built-in prompt templates for common workflows:

Prompt

Description

analyze_decline

Full decline analysis with model comparison and EUR

compare_completions

Compare completion effectiveness across wells

summarize_logs

Summarize log suite with pay zone identification

production_anomalies

Detect rate changes, shut-ins, water breakthrough

calculate_well_eur

Step-by-step EUR calculation with confidence intervals

Resources

Resource URI

Description

wells://list/{directory}

Browse wells in a directory of LAS/CSV files

wells://production/{file_path}

Per-well production summary from a CSV file

Example Data

The examples/ directory includes:

  • sample_well.las -- Synthetic Wolfcamp well log (GR, RHOB, NPHI, ILD, SP)

  • sample_production.csv -- 36 months of decline data for 3 Permian Basin wells

  • usage_examples.md -- Detailed usage examples

Example Output

Prompt: "Read the LAS file at examples/sample_well.las and summarize the curves"

Well: Wolfcamp A-1H (Spraberry Trend, Midland County, TX)
Depth range: 5000-5020 ft, 0.5 ft step (41 samples)

+-------+------+----------------------------+---------------+
| Curve | Unit |        Description         |     Range     |
+-------+------+----------------------------+---------------+
| GR    | GAPI | Gamma Ray                  | 22-126        |
| RHOB  | G/CC | Bulk Density               | 2.53-2.67     |
| NPHI  | V/V  | Neutron Porosity           | 0.09-0.23     |
| ILD   | OHMM | Deep Induction Resistivity | 3.9-175       |
| SP    | MV   | Spontaneous Potential      | -30.5 to -2.0 |
+-------+------+----------------------------+---------------+

Quick interpretation:
- Shale zones (~5002-5005 ft): High GR (>100), low resistivity,
  high NPHI -- classic shale signature.
- Clean/tight zones (~5008-5010 ft): Low GR (<30), high resistivity
  (>100 ohm-m), low NPHI -- likely tight carbonate, potentially
  hydrocarbon-bearing.

Hosted API (RapidAPI)

Don't want to run the server yourself? Use the hosted API -- free tier available, no setup required.

Subscribe on RapidAPI -- 16 endpoints for decline curves, PVT, petrophysics, drilling, and economics.

Plan

Price

Requests/month

Free

$0

1,000

Pro

$49/mo

100,000

Ultra

$99/mo

1,000,000

curl -X POST "https://petro-mcp.p.rapidapi.com/api/v1/decline/fit" \
  -H "X-RapidAPI-Key: YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"production_data":[{"time":0,"rate":1000},{"time":1,"rate":850},{"time":2,"rate":730}]}'

Also available as interactive web tools at tools.petropt.com.

REST API (Self-Hosted)

petro-mcp includes a FastAPI service that exposes the calculation engines as REST endpoints. This powers tools.petropt.com -- the web frontend calls these endpoints instead of re-implementing formulas in JavaScript.

Quick start

pip install petro-mcp
petro-api              # starts on http://localhost:8000
# or: uvicorn petro_mcp.api.app:app --reload

Endpoints

Group

Endpoint

Description

DCA

POST /api/v1/decline/fit

Fit Arps decline curve to production data

DCA

POST /api/v1/decline/eur

Calculate EUR from decline parameters

DCA

POST /api/v1/decline/forecast

Generate production forecast

PVT

POST /api/v1/pvt/properties

Black-oil PVT properties (Standing, Vasquez-Beggs, Petrosky-Farshad)

PVT

POST /api/v1/pvt/bubble-point

Bubble point pressure

PVT

POST /api/v1/pvt/z-factor

Gas Z-factor (Hall-Yarborough, Dranchuk)

Petrophysics

POST /api/v1/petrophys/archie

Water saturation (Archie)

Petrophysics

POST /api/v1/petrophys/porosity

Density porosity

Petrophysics

POST /api/v1/petrophys/vshale

Shale volume from gamma ray

Drilling

POST /api/v1/drilling/hydrostatic

Hydrostatic pressure

Drilling

POST /api/v1/drilling/ecd

Equivalent circulating density

Drilling

POST /api/v1/drilling/kill-sheet

Kill mud weight + ICP/FCP

Economics

POST /api/v1/economics/npv

Net Present Value

Economics

POST /api/v1/economics/well-economics

Full DCF analysis

Interactive docs at http://localhost:8000/docs (Swagger UI).

Example

curl -X POST http://localhost:8000/api/v1/decline/eur \
  -H "Content-Type: application/json" \
  -d '{"qi": 800, "Di": 0.06, "b": 1.2}'

Limitations

  • LAS 2.0 only -- LAS 3.0 and DLIS formats are not yet supported

  • Simplified nodal analysis -- Uses Vogel IPR and a simplified friction model. Results are directional/screening-level, not suitable for detailed well design

  • CSV production data only -- No database, WITSML, or API connectors yet

  • No visualization -- Returns JSON data only, no plots

Development

git clone https://github.com/petropt/petro-mcp.git
cd petro-mcp
pip install -e .
pip install pytest
pytest tests/ -v

Contributing

Contributions are welcome. Please:

  1. Fork the repository

  2. Create a feature branch

  3. Add tests for new functionality

  4. Submit a pull request

Areas where contributions are especially valuable:

  • WITSML real-time data support

  • Reservoir simulation output readers (Eclipse, OPM Flow)

  • OSDU API connector

  • Well spacing and interference analysis

  • Additional multiphase flow correlations

License

MIT License. See LICENSE for details.

Need More?

petro-mcp covers single-well analysis workflows. For advanced capabilities, Groundwork Analytics offers:

  • Multi-well batch analysis and ranking

  • Probabilistic EUR (P10/P50/P90)

  • Database integration (Enverus, IHS, WITSML)

  • Custom AI workflows for your engineering team

Visit petropt.com or reach out at info@petropt.com

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